DevOps/Platform Engineer II - Richland, WAPacific Northwest National Laboratory • Richland, Washington, United States
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DevOps/Platform Engineer II - Richland, WA
Pacific Northwest National Laboratory
- Richland, Washington, United States
- Richland, Washington, United States
À propos
Responsibilities We are seeking a DevOps/Platform Engineer to join PNNL's AI engineering team, contributing to innovative systems spanning agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. This is an excellent opportunity for early to mid-career developers to apply their software engineering skills to meaningful national security challenges while growing their expertise in AI/ML systems, cloud infrastructure, and distributed computing.
Who You Are You're a motivated software engineer with foundational experience in building production systems and a strong desire to grow your expertise in AI/ML and scalable infrastructure. You're comfortable working both independently on defined tasks and collaboratively on larger initiatives. You're eager to learn new technologies, apply software engineering best practices, and contribute to mission-critical systems while building your professional network and technical reputation.
What You'll Build AI Systems & Platforms
Develop components of agentic AI systems and LLM-based applications
Implement features using frameworks like LangChain, LlamaIndex, or similar tools
Build and maintain ML pipelines, data preprocessing workflows, and model deployment infrastructure
Create utilities and tools that support AI/ML development and operations
Work with multi-modal data including text, structured data, and sensor information
Data Pipelines & Infrastructure
Build data pipelines for large-scale ETL, transformation, and analytics workflows
Implement streaming data processors and event-driven components
Develop microservices and APIs within distributed architectures handling high-throughput workloads
Deploy containerized applications using Docker and Kubernetes
Contribute to CI/CD pipelines and automated testing frameworks
Mission-Critical Production Systems
Write clean, well‑tested code following established best practices
Implement monitoring, logging, and observability for applications
Build developer tooling and documentation to support team productivity
Contribute to system performance optimization and debugging efforts
Support deployments in cloud and secure environments
Technical Leadership
Work on small tasks and project elements, progressing to independent ownership
Collaborate with cross‑functional teams including data scientists, researchers, and senior engineers
Participate in code reviews, design discussions, and technical planning
Mentor junior staff and students when opportunities arise
Contribute technical content to proposals and project documentation
Present your work at team meetings and technical forums
Technical Knowledge, Skills, and Abilities Infrastructure & Automation Fundamentals
Working proficiency in Python with foundational knowledge of at least one additional language (Bash, Go, C#, JavaScript/TypeScript) for scripting and automation tasks
Understanding of Infrastructure as Code principles with exposure to tools like Terraform, CloudFormation, or Ansible and ability to write basic infrastructure configurations
Familiarity with version control workflows (Git) including branching, commits, pull requests, and collaborative development practices with willingness to learn CI/CD pipeline concepts and contribute to build automation
Eagerness to learn and apply AI assist tools such as GitHub Copilot, Claude, ChatGPT to accelerate learning, generate infrastructure code, troubleshoot issues, and improve automation script quality
MLOps & Machine Learning Infrastructure
Foundational knowledge of machine learning concepts including model training, evaluation, and deployment with exposure to frameworks (PyTorch, TensorFlow, scikit-learn)
Basic understanding of the ML lifecycle and MLOps principles including experiment tracking, model versioning, and monitoring with willingness to learn tools such as MLflow, Weights & Biases, Kubeflow
Exposure to or willingness to learn about ML model serving, inference APIs, and supporting infrastructure for training and deployment pipelines
Interest in supporting LLM applications, agent‑based frameworks, and ML workloads on cloud platforms or Kubernetes with eagerness to grow expertise through hands‑on projects
Cloud Platforms & Container Technologies
Basic knowledge of cloud computing principles and familiarity with services within AWS, Azure, or GCP (compute, storage, networking, IAM)
Exposure to containerization with Docker and foundational understanding of container orchestration concepts (Kubernetes) with willingness to learn pod management, deployments, and services
Understanding of basic networking concepts including DNS, load balancing, and firewalls with awareness of RESTful API principles and microservice architecture patterns
Familiarity with monitoring and logging tools (CloudWatch, Prometheus, Grafana, ELK Stack) and willingness to learn observability practices
Data Infrastructure & Pipeline Support
Awareness of cloud-native data pipeline concepts and ETL/ELT principles with exposure to services like AWS S3, Lambda, Glue, or equivalent Azure/GCP services
Basic knowledge of cloud-based data storage systems (S3, PostgreSQL, MongoDB) and understanding of differences between relational and NoSQL databases
Foundational understanding of distributed computing and streaming concepts with exposure to frameworks like Spark, Kafka, or Ray through coursework or personal projects
Knowledge of common data formats (JSON, CSV, Parquet, Avro) with basic understanding of schema design, data validation, and data quality considerations
Collaboration & Professional Growth
Ability to collaborate effectively within DevOps, platform engineering, and cross‑functional teams while actively seeking mentorship and learning opportunities
Developing communication skills to document infrastructure configurations, write clear runbooks, and articulate technical challenges through team discussions and written documentation
Enthusiastic participation in code reviews and infrastructure design discussions with openness to constructive feedback and eagerness to learn best practices
Demonstrated ability to incorporate feedback, learn from operational incidents, and continuously improve through peer collaboration, self‑study, and hands‑on experience
National Interest Project Examples
Detect and prevent smuggling of drugs and contraband at ports of entry
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders
Applying big data solutions to national security problems
Applying image classification for nuclear forensics analysis
Develop capabilities for scalable geospatial analytics
Location and Work Requirements This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
Qualifications Minimum Qualifications
PhD or MS/MA
BS/BA and 2 years of relevant experience
Preferred Qualifications
Degree in computer science, software engineering, or related technical field
Exposure to infrastructure automation, deployment pipelines, or cloud platform management through coursework, personal projects, labs, or internship experience
Basic scripting or programming experience with Python, Bash, or similar languages demonstrated through academic projects or personal automation initiatives
Experience with containerization (Docker) through personal projects, coursework, or labs with interest in learning Kubernetes
Strong problem‑solving abilities demonstrated through technical challenges, troubleshooting exercises, or course projects
Active engagement in learning cloud technologies, automation, MLOps, or modern infrastructure practices (e.g., coursework, certifications, or technical projects)
Participation in relevant communities, online courses, or technical forums demonstrating commitment to continuous learning
Hazardous Working Conditions Not applicable.
Additional Information This position requires the ability to obtain and maintain a federal security clearance.
Security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co‑workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Security Clearance Requirements
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre‑employment drug testing, and post‑employment random drug testing. Applicants must be able to demonstrate non‑use of illegal drugs, including marijuana, for 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre‑employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Drug Free Workplace PNNL is committed to a drug‑free workplace supported by the Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. Employees must pass a drug test prior to commencing employment. DEA defines marijuana as an illegal drug; a positive test will result in withdrawal of employment offer.
Security, Credentialing, and Eligibility Requirements PNNL requires new employees to obtain and maintain a HSPD‑12 Personal Identify Verification (PIV) Credential. Credentialing requires completion of a suitable tier of federal background investigation post‑hire and receiving a favorable federal adjudication. The tier of investigation is determined by job duties and national security or public trust responsibilities. All tiers include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier). Illegal drug activities include marijuana and cannabis derivatives, which remain illegal under federal law.
For foreign national candidates, residency in the U.S. for three consecutive years is required to be eligible for a PIV credential; otherwise a Local Site Specific Only (LSSO) federal risk determination is required.
Mandatory Requirements
DOE employees and contractors cannot have any affiliation with a foreign government identified as a “country of risk” without explicit approval. Affiliations must be disclosed and recused or approved before the first day of employment.
Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, fertility support, pension plan contributions, and 401(k) savings plan with company match. Employees may accrue up to 120 vacation hours per year and receive ten paid holidays per year.
Equal Employment Opportunity Statement We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information, protected veteran status, or any other status or characteristic protected by federal, state, or local laws.
Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job‑related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited‑term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity, and individual qualifications and skills.
Minimum Salary: USD $109,000.00 / Yr.
Maximum Salary: USD $163,600.00 / Yr.
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Compétences linguistiques
- English
Avis aux utilisateurs
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